Probabilistic Invariant Learning with Randomized Linear Classifiers

Leonardo Cotta, Gal Yehuda, Assaf Schuster +1

Designing models that are both expressive and preserve known invariances of tasks is an increasingly hard problem. Existing solutions tradeoff invariance for computational or memor…